Automated Classification and Categorization of Mathematical Knowledge
| Authors | |
|---|---|
| Year of publication | 2008 |
| Type | Article in Proceedings |
| Conference | Intelligent Computer Mathematics: AISC/Calculemus/MKM LNAI 5144 |
| MU Faculty or unit | |
| Citation | |
| Web | |
| Field | Informatics |
| Keywords | machine learning; classification; categorization; similarity of mathematical papers; mathematical knowledge management; MSC;mathematical subject classification |
| Description | There is a common Mathematics Subject Classification (MSC) System used for categorizing mathematical papers and knowledge. We present results of machine learning of the MSC on full texts of papers in the mathematical digital libraries DML-CZ and NUMDAM. The F1-measure achieved on classification task of top-level MSC categories exceeds 89%. We describe and evaluate our methods for measuring the similarity. of papers in the digital library based on paper full texts. |
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